m3taversal
20a9ba6785
Claims: 1. Agent research direction selection is epistemic foraging 2. Collective attention allocation follows nested active inference 3. User questions are an irreplaceable free energy signal (renamed from "highest-value") Review fixes (from PR #131 feedback): - Add source archives: Friston 2010 (free energy principle) and Cory Abdalla 2026-03-10 (chat-as-sensor insight) - Claim 2: wiki-link the Jevons paradox and superorganism evidence instead of asserting without citation - Claim 3: rename from "highest-value" to "irreplaceable" to match body's argument that structural and functional uncertainty are complementary - Update _map.md to match renamed claim 3 Pentagon-Agent: Theseus <B4A5B354-03D6-4291-A6A8-1E04A879D9AC>
39 lines
2.5 KiB
Markdown
39 lines
2.5 KiB
Markdown
---
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type: source
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title: "The free-energy principle: a unified brain theory?"
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author: "Karl Friston"
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url: https://doi.org/10.1038/nrn2787
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date: 2010-02-01
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domain: critical-systems
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secondary_domains: [ai-alignment, collective-intelligence]
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format: paper
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status: processed
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priority: high
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tags: [free-energy-principle, active-inference, bayesian-brain, predictive-processing]
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processed_by: theseus
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processed_date: 2026-03-10
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claims_extracted:
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- "biological systems minimize free energy to maintain their states and resist entropic decay"
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- "agent research direction selection is epistemic foraging where the optimal strategy is to seek observations that maximally reduce model uncertainty rather than confirm existing beliefs"
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enrichments: []
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---
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## Content
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Landmark Nature Reviews Neuroscience paper proposing the free-energy principle as a unified theory of brain function. Argues that biological agents minimize variational free energy — a tractable bound on surprise — through perception (updating internal models) and action (changing the environment to match predictions). This subsumes predictive coding, Bayesian brain hypothesis, and optimal control under a single framework.
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Key claims: (1) All adaptive behavior can be cast as free energy minimization. (2) Perception and action are dual aspects of the same process. (3) The brain maintains a generative model of its environment and acts to minimize prediction error. (4) This applies hierarchically across spatial and temporal scales.
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## Agent Notes
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**Why this matters:** Foundational paper for the active inference framework applied to collective agent architecture. The free energy principle provides theoretical grounding for why uncertainty-directed search outperforms relevance-based search in knowledge agents.
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**KB connections:**
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- [[biological systems minimize free energy to maintain their states and resist entropic decay]] — direct extraction from this paper
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- [[Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries]] — Markov blankets are central to Friston's framework
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- [[agent research direction selection is epistemic foraging]] — applies epistemic foraging concept from this paper to agent search
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## Curator Notes (structured handoff for extractor)
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PRIMARY CONNECTION: biological systems minimize free energy
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WHY ARCHIVED: foundational reference for active inference claims
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EXTRACTION HINT: core claims already extracted; this archive provides provenance
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